Abstract
PURPOSE: We compared the ability of four frailty identification tools (frailty phenotype: FP; FRAIL scale; 32-item Frailty Index: FI; and Clinical Frailty Scale: CFS) to predict 8-year mortality in TILDA. METHODS: We included wave 1 (2010) participants with data for all four tools. Mortality was ascertained at wave 5 (2018). Age, sex and education-adjusted binary logistic regression models were computed. RESULTS: At baseline, there were 5700 participants (mean age 63, range 50-98, 54% women). Frailty prevalences were 2.3% by FRAIL, 3.8% by FP, 10.9% by CFS, and 12.8% by FI. Mortality was 41.2%, 44.9%, 25.3% and 27.0%, respectively. The highest adjusted OR for mortality was for FRAIL (OR 4.48, 95% CI 2.93-6.85, P < 0.001), followed by FP (OR 3.55, 95% CI 2.52-5.00, P < 0.001), FI (OR 2.10, 95% CI 1.68-2.62, P < 0.001), and CFS (OR 1.88, 95% CI 1.48-2.38, P < 0.001). CONCLUSIONS: All tools significantly predicted mortality, but FRAIL and FP seemed more specific.